1.92 Robotics Autonomy Engineer - Federal Projects jobs in United States
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FieldAI · 3 months ago

1.92 Robotics Autonomy Engineer - Federal Projects

Field AI is transforming how robots interact with the real world, building reliable and field-ready AI systems for complex challenges in robotics. The Robotics Autonomy Engineer will develop and maintain autonomy software stacks to ensure robots navigate seamlessly in challenging environments and will collaborate across teams to optimize system performance.

Enterprise SoftwareRobotic Process Automation (RPA)Robotics
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Responsibilities

Develop algorithms to assess environmental conditions and support autonomous decision-making
Design evaluation frameworks to measure the performance of perception and navigation systems
Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment
Create systematic approaches to validate and improve system predictions across diverse operating scenarios
Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performance
Evaluate and design trade-offs between compute, latency, power, and other key performance metrics for robotic systems
Integrate diverse software modules, ensuring seamless communication and synchronization across components
Establish and maintain system performance metrics to identify bottlenecks and optimize system behavior
Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints
Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules
Conduct simulations and field tests to validate performance and optimize system behavior
Collaborate with hardware teams to ensure seamless software-hardware integration
Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions
Work closely with other engineering teams to align development efforts and achieve cohesive system performance
Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress

Qualification

ROS (Robot Operating System)PythonC++Hands-On Robotics ExperienceSystem IntegrationWillingness to TravelCommunication Skills

Required

US Person: Required due to export control regulations and project requirements
Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions
Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field
Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration. Experience with GPU programming (CUDA C++, PyTorch) a plus
Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across a wide range of robotic autonomy modules, including localization, perception, planning, and controls
Willingness to Travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel)
Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences

Preferred

Experience with real-time systems or robotics middleware
Familiarity with sensor integration and perception algorithms
Knowledge of machine learning techniques applied to robotics
Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing
Experience working in harsh or outdoor environments
Experience working with offroad vehicles / offroad driving
Advanced degree (Bachelors, Master's) in Robotics, Computer Science, Electrical Engineering, or a related field
Understanding of safety standards and compliance in robotics

Company

FieldAI

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FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.

Funding

Current Stage
Early Stage
Total Funding
$405M
2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M

Leadership Team

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Ali Agha
Founder and CEO
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Company data provided by crunchbase